ASSESSMENT OF THE FURNACE STATUS FOR POSSIBLE OPTIMIZATION OF HEATING AND FITTING THE MODEL HEATING LEVEL

1 ŠPIČKA Ivo
Co-authors:
1 ZIMNÝ Ondřej 1 HEGER Milan 1 FRIDRICH Michal Tomáš 1 ŠPIČKOVÁ Dagmar 1 Kulla Ondřej
Institution:
1 Technical University of Ostrava, Faculty of Materials and Technology, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic, EU, ivo.spicka@vsb.cz, ondrej.zimny@vsb.cz, milan.heger@vsb.cz, michal.fridricha.st@vsb.cz, dagmar.spickova@vsb.cz, Ondrej.Kulla.st@vsb.cz
Conference:
28th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 22nd - 24th 2019
Proceedings:
Proceedings 28th International Conference on Metallurgy and Materials
Pages:
1787-1792
ISBN:
978-80-87294-92-5
ISSN:
2694-9296
Published:
4th November 2019
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
49 views / 15 downloads
Abstract

This article aims to survey and evaluate the current state of the heating furnace and to analyze the operational data using data mining tools and artificial intelligence in order to capture the complex weaknesses of the current system and to propose those modifications that would allow deployment model management levels in its entirety.

Keywords: furnace, data mining, statistical analysis
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